Clustering Analysis of Energy Consumption in the Countries of the Visegrad Group
Michał Gostkowski,
Tomasz Rokicki,
Luiza Ochnio,
Grzegorz Koszela,
Kamil Wojtczuk,
Marcin Ratajczak,
Hubert Szczepaniuk,
Piotr Bórawski and
Aneta Bełdycka-Bórawska
Additional contact information
Michał Gostkowski: Institute of Economics and Finance, Warsaw University of Life Sciences WULS-SGGW, 02-787 Warsaw, Poland
Tomasz Rokicki: Institute of Economics and Finance, Warsaw University of Life Sciences WULS-SGGW, 02-787 Warsaw, Poland
Luiza Ochnio: Institute of Economics and Finance, Warsaw University of Life Sciences WULS-SGGW, 02-787 Warsaw, Poland
Grzegorz Koszela: Institute of Economics and Finance, Warsaw University of Life Sciences WULS-SGGW, 02-787 Warsaw, Poland
Kamil Wojtczuk: Institute of Economics and Finance, Warsaw University of Life Sciences WULS-SGGW, 02-787 Warsaw, Poland
Marcin Ratajczak: Management Institute, Warsaw University of Life Science WULS-SGGW, 02-787 Warsaw, Poland
Hubert Szczepaniuk: Management Institute, Warsaw University of Life Science WULS-SGGW, 02-787 Warsaw, Poland
Piotr Bórawski: Department of Agrotechnology and Agribusiness, Faculty of Agriculture and Forestry, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
Aneta Bełdycka-Bórawska: Department of Agrotechnology and Agribusiness, Faculty of Agriculture and Forestry, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
Energies, 2021, vol. 14, issue 18, 1-25
Abstract:
The main purpose of this paper is to assess energy consumption with a breakdown into main sectors of the countries that belong to the Visegrad Group. The specific objectives aim to determine changes in energy absorption, its productivity, structure by sectors and to show the similarities of the Visegrad Group countries to the other EU states in terms of the sectoral energy absorption structure. All members of the Visegrad group, i.e., Poland, Hungary, Slovakia and the Czech Republic, were purposefully selected for the study as of 31 December 2018. The research period covered the years 1990–2018. The sources of gathered information were the literature on the subject and OECD data. The following methods were used for the analysis and presentation of materials: explanations, tabular and graphical depictions, descriptive statistics, dynamics indicators, and cluster analysis performed with the following methods: k-means, hierarchical agglomerative clusters and DIvisive ANAlysis (DIANA). There is a limited number of previous studies on the relationship between the national level of economic development and energy consumption in different sectors of industry. Additionally, there are no such analytical projects concerning EU states. The article fills the research gap in this area. It was established that the dynamics of productivity growth over the nine years (2010–2018) was similar in the countries of the Visegrad group and on average for the EU. This means that the members of the Visegrad group did not actually improve their energy efficiency as compared to the EU average. The reason may be the increasingly faster implementation of modern technologies in developed economies of Western Europe as compared to the developing countries, which include the members of the Visegrad group. The conversion of the economy had a very large impact on changing the structure of energy absorption by sector. Industry and agriculture lost their importance. On the other hand, the transport and service sectors benefited. As a result of the cluster analysis, all EU (European Union) states were divided into four groups. Poland, the Czech Republic, and Hungary found themselves in one group, along with most Western European countries. This may mean that the economies of these states have become unified with highly developed economic systems. Slovakia found itself in the group of states with a greater importance of industry. The study complements the contribution to the theory. From a practical point of view, it shows the impact of economic transformation on changes in energy consumption in individual sectors, which may be a model of transition in this area.
Keywords: clustering analysis; k-means; energy productivity; sectors analysis; EU (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://www.mdpi.com/1996-1073/14/18/5612/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/18/5612/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:18:p:5612-:d:630798
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().